Pandas

Python DataFrame library, built on top of NumPy and used by many other projects.

Logo

../_images/pandas-dev_pandas-small.png

Website

https://pandas.pydata.org

Repository

https://github.com/pandas-dev/pandas

Byline

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

License

BSD 3-clause

Project age

12 years 8 months

Backers

Chan Zuckerberg Initiative (Grant), NumFocus (Grant 2019), Quansight (Commercial support)

Lastest News (2022-01-22)

Pandas 1.4.0 This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to … more

Size score (1 to 10, higher is better)

7.25

Trend score (1 to 10, higher is better)

4.75

Education Resources

URL

Resource Type

Description

https://pandas.pydata.org/docs/user_guide/index.html#user-guide

Documentation

This User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout.

https://github.com/jvns/pandas-cookbook

Example Code

This is a pandas cookbook created in 2015 by Julian Evans, which was updated in 2020.

Git Commit Statistics

Statistics computed using Git data through March 31, 2022.

Statistic

Lifetime

Last 12 Months

Commits

104,222

36,342

Lines committed

13,430,715

3,135,469

Unique committers

2,916

395

Core committers

18

15

../_images/pandas-dev_pandas-monthly-commits.png

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